Task-Oriented Quality Measures for Dextrous Grasping
2005 International Symposium on Computational Intelligence in Robotics and Automation
Abstract
We propose a new and efficient approach to compute task oriented quality measures for dextrous grasps. Tasks can be specified as a single wrench to be applied, as a rough direction in form of a wrench cone, or as a complex wrench polytope. Based on the linear matrix inequality formalism to treat the friction cone constraints we formulate respective convex optimization problems, whose solutions give the maximal applicable wrench in the task direction together with the needed contact forces. Numerical experiments show that application to complex grasps with many contacts is possible.
Key takeaways
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AI
- The proposed method efficiently computes task-oriented quality measures for dextrous grasps using convex optimization and LMI techniques.
- Grasp quality measures can be defined for tasks specified as wrenches, cones, or polytopes in wrench space.
- The approach allows for evaluating grasping capabilities with multiple contact points, yielding realistic force optimization results.
- Numerical experiments demonstrate the method's effectiveness for complex lifting tasks involving many contacts and friction constraints.
- The algorithm operates effectively within one second for a grasp with eight contacts, highlighting its computational efficiency.
References (22)
- Ikuo Yamano, Kenjiro Takemura, and Takashi Maeno, "Devel- opment of a robot finger for five-fingered hand using ultrasonic motors," in Proc. Int. Conf. on Intelligent Robots and Systems (IROS). 2003, pp. 2648-2653, IEEE.
- Shadow Robot Company, "The shadow dextrous hand," http://www.shadow.org.uk/products/newhand.shtml.
- R. Menzel, K. Woelfl, and F. Pfeiffer, "The development of a hydraulic hand," in Proc. 2nd Conf. Mechatronics and Robotics, 1993, pp. 225-238.
- Jörg Butterfaß, Markus Grebenstein, Hong Liu, and Gerd Hirzinger, "DLR-Hand II next generation of a dextrous robot hand," in Proc. Int. Conf. on Robotics and Automation (ICRA). 2001, pp. 109-120, IEEE.
- C. Lovchik and M. Diftler, "The robonaut hand: A dexterous robot hand for space," in Proc. Int. Conf. on Robotics and Automation (ICRA), Detroit, 1999, vol. 2, pp. 907-912, IEEE.
- J. J. Xu, G. F. Liu, X. Wang, and Z. X. Li, "A study on geometric algorithms for real-time grasping force optimization," in Proc. Int. Conf. on Intelligent Robots and Systems (IROS). 2003, pp. 3441- 3446, IEEE.
- Li Han, Jeff C. Trinkle, and Zexiang Li, "Grasp analysis as linear matrix inequality problems," IEEE Trans. Robotics and Automation, vol. 16, no. 6, pp. 663-674, 2000.
- Xiangyang Zhu, Han Ding, and Jun Wang, "Grasp analysis and synthesis based on a new quantitative measure," IEEE Trans. Robotics and Automation, vol. 19, no. 6, pp. 942-953, 2003.
- M. Buss, H. Hashimoto, and J. Moore, "Dextrous hand grasping force optimization," IEEE Trans. Robotics and Automation, vol. 12, no. 3, pp. 406-418, 1996.
- U. Helmke, K. Hüper, and J. B. Moore, "Quadratically convergent algorithms for optimal dextrous hand grasping," IEEE Trans. Robotics and Automation, vol. 18, no. 2, pp. 138-146, 2002.
- Yusuke Maeda, Nanako Ishido, Haruka Kikuchi, and Tamio Arai, "Teaching of grasp/graspless manipulation for industrial robots by human demonstration," in Proc. Int. Conf. on Intelligent Robots and Systems (IROS), Lausanne, 2002, pp. 1523-1528, IEEE.
- Andrew T. Miller and Peter K. Allen, "Examples of 3d grasp quality computations," in Proc. Int. Conf. on Robotics and Automation (ICRA). May 1999, pp. 1240-1246, IEEE.
- M. R. Murry, Z. Li, and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation, CRC Press, 1994.
- Carlo Ferrari and John Canny, "Planning optimal grasps," in Proc. Int. Conf. on Robotics and Automation (ICRA). 1992, pp. 2290- 2295, IEEE.
- Yusuke Maeda and Tamio Arai, "A quantitative stability measure for graspless manipulation," in Proc. Int. Conf. on Robotics and Automation (ICRA), Washington, 2002, pp. 2473-2478, IEEE.
- Z. Li and S. Sastry, "Task-oriented optimal grasping by multifin- gered robot hands," IEEE Journal of Robotics and Automation, vol. 4, no. 1, February 1988.
- Y. Nesterov and A. Nemirovsky, "Interior-point polynomial methods in convex programming," SIAM Studies in App. Math., vol. 13, 1994.
- S.-P. Wu, L. Vanderberghe, and S. Boyd, MAXDET: Software for Determinant Maximization Problems. User's Guide, Stanford University, 1996.
- S.-P. Wu and S. Boyd, SDPSOL: a parser/solver for SDP and MAXDET problems with matrix structure. User's Guide, Stanford University, 1996.
- CMLabs, "Vortex -physics engine for real-time simulation," www.cm-labs.com.
- Jochen Steil, Frank Röthling, Robert Haschke, and Helge Ritter, "Situated robot learning for multi-modal instruction and imitation of grasping," Robotics and Autonomous Systems, vol. Special Issue on "Robot Learning by Demonstration", no. 47, pp. 129-141, 2004.
- Helge Ritter, Jochen Steil, Claudia Nölker, Frank Röthling, and P. McGuire, "Neural architectures for robotic intelligence," Reviews in the Neurosciences, vol. 14, no. 1-2, pp. 121-143, 2003.